Category: Data Management

Big Data in the field of automotive testing is mainly about the analysis of huge amounts of data that result from a wide range of test benches and driving tests. The aim is to identify new patterns and correlations in these test data in order to describe a complex system of different components and to predict the future behavior of this system. In this way, e.g. it is possible to gain important insights for the development of new simulation models and to achieve considerable savings in the execution of cost-intensive tests. Among other things, the basis for this are tools for Data Mining, Predictive Analytics or Machine Learning, which are nowadays available in a large number on the market – in some cases even free of charge.

Peak Solution and PSA Groupe have agreed to collaborate on a ‘Big Data’ project. The aim is to develop a flexible and scalable solution to systematically manage and analyze the huge amount of data that results from car testing. The two partners will also incorporate into the project recommendations and results from the ASAM-BigODS Work Group.

The ASAM e.V. is currently working on a project that prepares the expansion of ASAM ODS to Big Data. Phase 1 of the project was finished successfully last year with a collection of use-cases, features and non-functional requirements of end users for processing large amounts of data throughout the automotive development process. Now, ASAM Technical Steering Committee (TSC) has approved phase 2 of the project.

Car manufacturers and suppliers facing the challenge to handle a growing amount of data coming from various sources such as test stands, test automation systems and field test equipment in an efficient manner. At the same time, they want to link development and test data with information on vehicle use. The goal is clear: Due to the increasing complexity of vehicles, the engineers must get a holistic, cross-domain understanding of the interaction and behavior of individual car components and performance parameters in the context of different environmental situations. In doing so, they want to make use of existing experience and knowledge in the company or even in the industry. Therefore, the companies want to collect, refine and systematically provide the entire development knowledge for different user groups.

The ASAM ODS base standard in version 5.x offers clients access to ODS servers by means of CORBA and RPC. Since these communication protocols are technically outdated and either badly or not supported by newer development tools, version 6.0 of ASAM ODS now additionally provides a streamlined API.

The openMDM® EWG (Eclipse Working Group) published a web-based prototype client for navigating and searching in test data in the middle of 2016. In December 2016, Peak Solution began to expand this client on behalf of BMW. The goal is to prepare openMDM® 5 for productive use at BMW Group.